Alexandre Bove

– Lead the technical vision and architecture for SaaS and on-premise solutions in quality management and AI-powered tools. – Full-stack development with React.js, Next.js, Node.js, TypeScript and REST/GraphQL APIs. – Design and implementation of AI and data pipelines, including integration of Large Language Models (LLM) for internal tools, assistants, document processing and automation. – Development and deployment of MCP (Model Context Protocol) servers to securely connect LLMs with internal systems, knowledge bases and external services. – Design of AI features for robotics and automation use cases (perception, decision support, control workflows), focusing on reliability, performance and safety constraints. – Ownership of DevOps stack: Docker, Docker Compose, CI/CD with GitHub Actions, environment provisioning, observability and security best practices. – Technical leadership: code reviews, mentoring, backlog prioritisation, close collaboration with founders and clients to translate business needs into robust engineering solutions.

– Designed and wrote technical documentation for GeoAI and computer vision initiatives supporting railway infrastructure monitoring and safety. – Contributed to the setup and integration of computer vision pipelines on geospatial and imagery data (asset detection, anomaly detection, etc.). – Worked independently with no direct technical support, taking full ownership of understanding the environment, tools and constraints, and proactively proposing solutions. – Collaborated with internal teams to align AI use cases with operational requirements (scalability, robustness, compliance, maintainability).

– Led the development of a multi-platform mobile application. – Front-end with Unity; back-end with Node.js and RethinkDB. – Implemented best practices in testing, CI/CD and API design. – Close collaboration with product owners to translate requirements into technical solutions.

– Security & surveillance: presence on the field, incident reporting, support to public safety. – IT maintenance: first-line troubleshooting of computers, networks and local systems. – CCTV & camera management: basic monitoring and support for camera systems. – Event & market operations: setup and dismantling of markets and public events (logistics, coordination, technical needs). – Data management & analysis: collection and analysis of operational data (footfall, occupancy, events impact) to support reporting and improvements.